-
svpwmgenerator2
一种新型的pwm逆变器,利用了流行的z-source技术(A novel pwm inverter, using the popular z-source technology)
- 2010-12-08 14:28:45下载
- 积分：1
-
Introduction_to_Model_Predictive_Control_Toolbox
INTRODUCTION FOR MODEL PREDECTIVE
- 2013-12-06 02:19:38下载
- 积分：1
-
texture_code_and_thesis
4个收集的vc，matlab纹理检测，纹理分割代码和数篇IEEE纹理分割，纹理缺陷检测论文(Number of Posts IEEE texture segmentation, texture defect detection papers and four personal collection vc, matlab code texture segmentation)
- 2010-07-01 16:20:53下载
- 积分：1
-
mvdr_1
最小方差无失真响应，波束形成，增强信号。(Minimum Variance Distortionless Response ,Digital Beamforming,Siginal Enhancement)
- 2011-05-09 20:01:07下载
- 积分：1
-
MATLAB
详细介绍matlab设计。提供一些具体实例供参考(Matlab design details. Provide some specific examples for reference)
- 2011-07-03 10:51:35下载
- 积分：1
-
pcm
PCM编码/解码的实现，采用A律13折法进行量化和编码/解码。(PCM encoding/decoding implementations, using A-law 13 to quantify the folding and encoding/decoding.)
- 2011-12-02 12:41:06下载
- 积分：1
-
Hu-Wang
Matlab 计算听觉场景分析的语音分离(computational auditory scene analysis of speech separation in Matlab )
- 2014-12-23 21:12:12下载
- 积分：1
-
NewtonSpline
牛顿插值法和三次样条插值法的程序，也对这两种方法的效果进行了对比。(Program of Newton interpolation and cubic spline interpolation method, and also compared the effect of these two methods.)
- 2014-08-13 22:11:09下载
- 积分：1
-
Laplace
传统的短时谱估计语音增强算法通常假设语音谱分量相互独立，没有考虑语音谱分量间的相关性。针对这
一问题，该文提出一种新的基于多元Laplace分布模型的短时谱估计算法。首先，假设语音的离散余弦变换(DCT)
系数服从多元Laplace分布，以此利用谱分量间的相关性；在此基础上，利用多元随机矢量的高斯尺度混合模型表
示，推导得到语音DCT系数矢量的最小均方误差(MMSE)估计的解析表达式；并进一步推导了基于该分布模型的
语音存在概率，对最小均方误差估计子进行修正。实验结果表明，该算法在抑制背景噪声和减少语音失真等方面优
于传统的语音增强方法。(The spectral components of speech are usually assumed to be independent in traditional short-time
spectrum estimation, which is not the case in practice. Tosolve this problem, a new speech enhancement algorithm
with multivariate Laplace speech model is proposed in this paper. Firstly, the speech Discrete Cosine Transform
(DCT) coefficients are modeled by a multivariate Laplace distribution, so the correlations between speech spectral
components can be exploited. And then a Minimum-Mean-Square-Error (MMSE) estimator based on the proposed
model is derived using a Gaussian scale mixture representation of random vectors. Furthermore, the speech
presence uncertainty with the new model is derived to modify the MMSE estimator. Experimental results show
that the developed method has better noise suppression performance and lower speech distortion compared to the
traditional speech enhancement method. )
- 2014-01-18 10:44:40下载
- 积分：1
-
1111
有关机动目标跟踪，卡尔曼滤波相关的资料，对从事卡尔曼滤波研究，机动目标跟踪的朋友有参考价值 (The maneuvering target tracking, Kalman filtering relevant information, engaged in Kalman filtering, target tracking friends have reference value)
- 2010-09-08 13:42:48下载
- 积分：1
